update RELEASE.md.

pull/833/head
lujiale 4 years ago committed by Gitee
parent 1b4f857762
commit 2ecd88e09b

@ -1,3 +1,31 @@
### Major Features and Improvements
* Dynamic dims input is supported in online inference scenarios.
* Dynamic ranking is supported in the GetNext scenario.
* Dynamic shape is supported in offline inference scenarios.
* Dynamic AIPP is supported in the dynamic multi-batch scenario.
* Dynamic shape is supported for single operator in inference scenarios.
* Supporting Profiling Training Trace in the Dynamic Shape Scenario.
### New Features
#### C++ API
* Session::AddGraphWithCopy(uint32_t graphId, const Graph& graph) added ([#230](https://gitee.com/mindspore/graphengine/pulls/230))
* Session::AddGraphWithCopy(uint32_t graphId, const Graph& graph, const std::map<AscendString, AscendString>& options) added([#230](https://gitee.com/mindspore/graphengine/pulls/230))
### Bug fixes
* Fix aicpu custom cpukernelluanch operation scene, the problem of stream resources cannot be released normally.
* Fix the problem of network performance degradation caused by adding too many trandata operators in special scenes of graph optimization
* Code review to fix the problem of program dead loop after partial integer flip
* Fix the problem that some scenes of dynamic shape cannot dump the reducesum operator
* Fix the problem of large loop expansion during network composition, resulting in insufficient memory and training failure
* Fix the problem of dump AICPU operator fails.
## Thanks to our Contributors
Thanks goes to these wonderful people: wuweikangwangcongweiyangyanghaorangxutianchunshibeijizhouchao, tanghuikang, zhoulili, liujunzhu, zhengyuanhua, taoxiangdong Contributions of any kind are welcome!
Contributions of any kind are welcome!
# Release 1.0.0
## Major Features and Improvements
@ -13,7 +41,7 @@
## Thanks to our Contributors
Thanks goes to these wonderful people: wuweikangwangcongweiyangyanghaorangxutianchunshibeijizhouchao, tanghuikang, zhoulili, liujunzhu, zhengyuanhua, taoxiangdong Contributions of any kind are welcome!
Thanks goes to these wonderful people: wuweikangweiyangyanghaorangxutianchunshibeijizhouchao, tanghuikang, zhoulili, liujunzhu, zhengyuanhua, taoxiangdong, zhaoxinxin, chuxing, wangtao, zhaozhixuan, wangwenhua Contributions of any kind are welcome!
Contributions of any kind are welcome!

Loading…
Cancel
Save